Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
29 measurements spanning 42 days, net +730. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 15,584–16,566 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
17 Sept 2026, 19:01
16,453
+40
15 Sept 2026, 13:36
16,413
+38
13 Sept 2026, 22:38
16,375
+309
12 Sept 2026, 07:55
16,066
+90
10 Sept 2026, 05:16
15,976
+128
7 Sept 2026, 02:01
15,848
+151
2 Sept 2026, 17:45
15,697
-4
1 Sept 2026, 17:48
15,701
-3
31 Aug 2026, 20:34
15,704
-9
30 Aug 2026, 17:14
15,713
-11
29 Aug 2026, 17:44
15,724
+15
28 Aug 2026, 14:26
15,709
-4
27 Aug 2026, 17:58
15,713
-6
26 Aug 2026, 17:53
15,719
+4
25 Aug 2026, 19:42
15,715
-3
24 Aug 2026, 19:24
15,718
-13
23 Aug 2026, 02:57
15,731
-11
20 Aug 2026, 15:42
15,742
-3
19 Aug 2026, 17:26
15,745
+7
18 Aug 2026, 14:35
15,738
first reading
Engagement
47 posts held, back to 26 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.34%
avg views ÷ 16,453 subscribers
Avg views / post
1,370
6 posts measured
Reaction rate
4.26%
reactions ÷ views · ER floor
Posts in window
6
of 47 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 30 August 2026
Posts held
47 (26 July 2026 – 30 August 2026)
Views total
8,230
Reactions total
351
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:20 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
1m 28s
Average length
22s
Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
1,955 reactions across 47 posts, in 13 distinct kinds. The most used accounts for 67.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,328
67.9%
🔥
136
6.96%
custom 5220069080798611448
126
6.45%
custom 5208911829505432564
87
4.45%
🥰
72
3.68%
❤🔥
68
3.48%
👍
54
2.76%
💘
39
1.99%
😍
20
1.02%
💯
13
0.665%
🙏
7
0.358%
👏
4
0.205%
🤯
1
0.051%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 47 of the 47 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,955 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 26 July 2026 to 30 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
4
of 47 we hold a reading for · 9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @stretch_nadya. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 47 most recent posts we hold for this entry, published 26 July 2026 to 30 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Провела сегодня для ТЕЙПЫ-ЛИЦО вебинар
Обсуждали, как внедрить в жизнь дисциплину. Какие зож задачи приоритетны, какие являются дополнением
Отвечала на вопросы
Максимально кайфую от формата вебинаров, очень понравилось ❤️
Взяла себе какао после веба и пошла довольная в зал на силовую)
Утром молилась, играла на клавишах, поела стейк. Такая жизнь ☀️
Мои хорошие, мне нужна ваша обратная связь
Какие посты вы хотите видеть на канале, что вам интересно на тему:
- тренировок, осанки, тазового дна
- отеков
- ухода за лицом (массаж/уход/прыщи)
- регуляции веса (снижение/набор)
- питания, рецептов
- дисциплины
- внутреннего состояния/духовности
Напишите, пожалуйста, ваш запрос ко мне❤️и ближайший месяц я буду вести канал по вашему запросу
Тренировки могут сильно больше, чем нам порой кажется
Правильное движение способно избавить от болей, от которых не помогало ничего. И я этого вижу постоянно в своей практике
3 незаменимых комплекса на видео❤️
#советызожНадежда
Разбор завтрака, после которого я должна 6 часов быть сытой, потому что до обеда у меня: работа, фортепиано, вокал, перемещения по городу, а после обеда танцы✨
Когда я говорю, что ем тазиками - это правда) порции у меня действительно большие. Ем я 3 раза в день. Двухразовое питание в прошлом, т к мою физ активность не потянуть на двухразовом питании как выяснилось методом проб и ошибок
Основная тарелка: фарш индейк…
Завершился набор на программу по тейпам, в это воскресенье провожу для участников вебинар
Следующий запуск планирую по любимой осанке, но позже
Сейчас хочется отдыха) и разгрести долги по учебе. Диплом только следующим летом, а значит еще почти год нужно уделять огромное количество времени лекциям и заданиям
-
Разучила свой первый трек на фортепиано) еще зимой я не знала ни одной ноты, а сейчас могу понемногу чит…
Тейпы - лицо🔥🔥🔥🔥
Полмиллиона руб на обучения только за 2025/2026 + моя регулярная практика и оттачивание техник, чтобы сделать супер простые, понятые, а главное эффективные уроки
Я сэкономила участникам просто тонну времени и денег этой программой
А формат супер коротких уроков позволяет точно делать и получать такие результаты ❤️
Последний вагон: https://tape-stretchnadya.lpxl.ru/
Промежуточный отзыв❤️
Фото ДО делала, ПОСЛЕ пока кажется рано делать, я начала чуть позже, чем был старт, но в зеркале точно вижу изменения. Лицо становится более умиротворенным, добрым, спокойным) Как будто наложили фильтр "клин герл на пилатесе и на релаксе" 😄
Особенно радует эффект расслабления жевательных, и вот действительно нужна практика, первые разы у меня вроде на вид получалось правильно, но чувствовала, чт…
ЗАКРЫТИЕ ПРОДАЖ НА ТЕЙПЫ-ЛИЦО🥳
Я обучаюсь, занимаюсь сама и веду программы по лицу почти 7 лет и каждый раз, когда вижу отзывы, радуюсь, что занимаюсь таким красивым делом)
Приглашаю всех на новую программу, благодаря которой вы сможете долгие годы поддерживать свое лицо в его лучшей форме: без отеков, деформаций и морщинок
Структура программы: https://t.me/stretch_nadya/8431
Ссылка на саму программу: https://tap…
Миндальное молоко и печеньки
Я практически не готовлю такое, потому что это слишком вкусно😄😄
400 гр миндаля замачиваем хотя бы на 2 часа. Промываем, воду сливаем. В блендер с чистой водой кидаем замоченный миндаль. От количества воды зависит итоговая жирность молока. Чем жирнее, там вкуснее) я добавляю примерно 800 мл. Ложка меда или финик, соль, корица по вкусу
Взбиваем пару минут. Можно дольше, но я из жмыха гот…
Вот такая программа вышла🫂❤️
ТЕЙПЫ-ЛИЦО✨
Показала вам, как все устроено на платформе, структуру курса
Ссылка, чтобы к нам присоединиться: https://tape-stretchnadya.lpxl.ru/
❤15
Showing the 12 most recent of 47 posts we hold for @stretch_nadya. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@stretch_nadya edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
14 August 2026
Most recent edit
14 August 2026
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Надежда о теле” (@stretch_nadya), 16,453 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/stretch_nadya.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.